基于物理层网络编码的通信信号分析方法

Analysis of communication signals based on physical-layer network coding

针对物理层网络编码(PNC)系统难截获的特点,为了实现基于物理层网络编码通信信号的盲恢复,提出一种基于译码辅助的盲恢复算法。该算法首先对第二时隙映射信号进行分析,主要包括调制参数和编码参数等信息;其次,对第一时隙同频混合信号进行最佳采样点分析,通过聚类匹配的方法对采样点信息进行判决;最后,利用译码算法对判决信息进行分组纠错,恢复通信双方的信息序列。实验结果表明,所提算法能够成功实现PNC混合信号的盲恢复,在信噪比为11 dB时,误码率可以达到10-3。

The Physical-layer Network Coding （PNC） is difficult to be wiretapped. In order to wiretap and recover the signals from the PNC system, a blind signal processing algorithm based on decoding was proposed to recover the information sequences from the senders in the paper. Firstly, the algorithm analyzed the mapping signal from the second slot in PNC scheme in order to get the parameters of modulation and encoding. Secondly, the algorithm processed the mixed signal from the first slot in the PNC scheme, and clustered the sampling data to judge the component of bit information. At last, the paper used the decoding algorithm to correct the information and took the mixed signal apart successfully. Extensive simulation studies show that the new algorithm based on constellation analysis and decoding can recover the signals blindly, and the Bit Error Rate （BER） reaches 10.3 when the Signal-to-Noise Ratio （SNR） is 11dB.